Simon Ye

930 citations
4 papers · 333 · 1 hit paper · h-index 3

Impact in

  • Genetics top 10%
    • Virus-based gene therapy research
    • Neurogenetic and Muscular Disorders Research

Papers in

    • CRISPR and Genetic Engineering 1
    • RNA Interference and Gene Delivery 1
    • Virus-based gene therapy research 2

Simon Ye

4 papers receiving 329 citations

Simon Ye's Hit Papers

Directed evolution of a family of AAV capsid variants enabling potent muscle-directed gene delivery across species 2021 · 292 citations
2920+1+3Years since publication50100150200250

Peers

Simon Ye
Comparison fields: 5 of 54
  • Genetics 178
  • Aging 11
  • Molecular Biology 274
  • Business and International Management 6
  • Cardiology and Cardiovascular Medicine 61
Replace Alexandra C. Stanton with:
Alexandra C. Stanton United States
Krystynne A Leacock United States
Emily M. King United States
Naftali Horwitz United States
Jonas Weinmann Germany
Kathleen A. Messemer United States
Elena Barbon France
Guillaume Précigout France
John R. Counsell United Kingdom
Stacy A. Maitland United States
Simon Ye relative to Alexandra C. Stanton United States Alexandra C. Stanton's profile →
Citations per field
00.5×1.5×2.5×
Alexandra C. Stanton · 1×
Citations per year

Countries citing papers authored by Simon Ye

Since Specialization
Citations

This map shows the geographic impact of Simon Ye's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Simon Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Ye more than expected).

Fields of papers citing papers by Simon Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon Ye. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Simon Ye. The network helps show where Simon Ye may publish in the future.

Co-authors

The 25 scholars most cited alongside Simon Ye, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Simon Ye Line = papers co-authored together Simon Ye links everyone, so they are left out of the graph.

All Works

About Simon Ye

Simon Ye is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Cardiology and Cardiovascular Medicine and Virology, having authored 4 papers that have together received 333 indexed citations. Recurring topics across this work include Virus-based gene therapy research (2 papers), CAR-T cell therapy research (1 paper), HIV Research and Treatment (1 paper), HIV/AIDS drug development and treatment (1 paper), CRISPR and Genetic Engineering (1 paper), HIV/AIDS Research and Interventions (1 paper), Viral Infections and Immunology Research (1 paper) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Genetics (178 citations), Aging (11 citations), Molecular Biology (274 citations), Business and International Management (6 citations) and Cardiology and Cardiovascular Medicine (61 citations). Simon Ye has collaborated with scholars based in United States and Denmark. Frequent co-authors include Pardis C. Sabeti, Emily M. King, Mohammadsharif Tabebordbar, Kim A. Lagerborg, Alexandra C. Stanton, Emily C. Troiano, Naftali Horwitz, Kathleen A. Messemer, Krystynne A Leacock and Sahar Tavakoli. Their work appears in journals such as Cell, Med, Journal of Virology and Zenodo (CERN European Organization for Nuclear Research).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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